| Titolo | FoundationAgents MetaGPT 0.8.1 Code Injection (CWE-94) |
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| Descrizione | A Remote Code Execution (RCE) vulnerability exists in the check_solution() method in metagpt/ext/aflow/benchmark/humaneval.py and metagpt/ext/aflow/benchmark/mbpp.py, and in metagpt/ext/aflow/operator.py of MetaGPT.
The application fails to sanitize or sandbox LLM-generated code before executing it via the built-in Python exec() function. Any code returned by the LLM is executed directly on the host system with full OS-level privileges.
File: metagpt/ext/aflow/benchmark/humaneval.py, Method: check_solution() - Calls exec() on LLM-generated code without sandboxing.
File: metagpt/ext/aflow/benchmark/mbpp.py, Method: check_solution() - Same exec() pattern, no isolation layer.
File: metagpt/ext/aflow/operator.py - Also invokes exec() on untrusted LLM output.
Reproduction:
1. Install MetaGPT (pip install metagpt).
2. Prepare malicious payload: import os; def solve(x): os.system('touch /tmp/rce_proof'); return x
3. Trigger HumanEvalBenchmark.check_solution() with the payload.
4. Verify /tmp/rce_proof exists on the host.
Impact: Arbitrary OS command execution. Attacker who can influence LLM outputs via prompt injection can achieve full environment compromise. |
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| Fonte | ⚠️ https://github.com/FoundationAgents/MetaGPT/issues/1942 |
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| Utente | Eric-y (UID 95889) |
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| Sottomissione | 28/03/2026 03:13 (4 mesi fa) |
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| Moderazione | 09/04/2026 14:04 (12 days later) |
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| Stato | Accettato |
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| Voce VulDB | 356524 [FoundationAgents MetaGPT fino a 0.8.1 HumanEvalBenchmark/MBPPBenchmark check_solution escalationi di privilegi] |
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| Punti | 20 |
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